Tag: Artificial Intelligence

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Artificial Intelligence Education Reading

Latest Read: How to Stay Smart in a Smart World

How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms by Gerd Gigerenzer.

How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms by Gerd Gigerenzer

Gerd holds a master of arts and a doctor of philosophy in psychology from the University of Munich. He received the postdoctoral degree of habilitation in 1982. Today Gerd is Director at the Max Planck Institute for Human Development and Director of the Harding Center for Risk Literacy in Berlin.

He is former Professor of Psychology at the University of Chicago and a Distinguished Visiting Professor at the University of Virginia. Gerd is a Fellow of the Berlin-Brandenburg Academy of Sciences and the German Academy of Sciences.

So, Gerd is providing a very compelling case for humans to stay in charge of our current world of algorithms. He is addressing with deep insights the fallacy of current state AI. He does certainly acknowledge the impactful use of AI yet provides an honest view that markets are shaped by companies promising AI as the holy savior of their organization’s marketplace.

In fact, the first part of his book “The Human Affair with AI” really provides a wake up call to all the hype driven by those companies and markets who stand to gain the most.

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Artificial Intelligence Education Innovation Reading

Latest Read: Work without Jobs

Work without Jobs: How to Reboot Your Organization’s Work Operating System by Ravin Jesuthasan and John W. Boudreau.

Work without Jobs: How to Reboot Your Organization’s Work Operating System by Ravin Jesuthasan and John W. Boudreau

John Boudreau is Professor Emeritus of Management and Organization and a Senior Research Scientist with the Center for Effective Organizations at the University of Southern California. He holds a Masters and PhD from Purdue University in Industrial Administration.

Ravin is Senior Partner and Global Leader for Transformation Services at Mercer. Previously he was a Managing Director at Willis Towers Watson. He holds an MBA from Western Michigan University and is a Part-time Lecturer at Caltech’s Executive Education Program.

As a follow up to Reinventing Jobs, Ravin and John provide deeper insights for organizations to succeed deploying AI services. Reinventing Jobs certainly revealed the impact of deconstructing ‘work’ to address how to optimize workforce tasks.

However, Work without Jobs is addressing what America has long understood the term “job” and workers hired to perform “tasks” that now clash in the age of AI.

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Artificial Intelligence Education Innovation Reading

Latest Read: Power and Prediction

Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. In a direct follow up to their book Prediction Machines: The Simple Economics of Artificial Intelligence,

Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Ajay Agrawal is an economics professor at the University of Toronto’s Rotman School of Management as well as the Professor of Strategic Management.

Joshua Gans is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab.

Avi Goldfarb is the Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. In addition, Avi’s research focuses on the opportunities and challenges of the digital economy.

Ajay, Avi, and Joshua once again are delivering deep insights into AI prediction and the impacts upon business and society are outlined. Both good and bad. In fact, organziations need to fully understand the impacts.

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Artificial Intelligence Education Innovation Reading

Latest Read: Prediction Machines

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb.

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Ajay Agrawal is an economics professor at the University of Toronto’s Rotman School of Management as well as the Professor of Strategic Management.

Joshua Gans is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab.

Avi Goldfarb is the Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. In addition, Avi’s research focuses on the opportunities and challenges of the digital economy.

Ajay, Avi, and Joshua are certainly diving deep into the disruptive and transformational world of decision making. They are framing AI as a prediction tool. Perhaps most important is today’s economies of scale make this very inexpensive yet is not designed to remove or replace humans from their jobs. Yet the impact of AI will be far reaching across industries, work and the daily lives of global citizens.

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Artificial Intelligence Education Globalization Innovation Reading

Latest Read: Atlas of AI

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford. Kate has a PhD from the University of Sydney. Kate is a research professor of communication at USC, senior principal researcher at Microsoft Research, and an honorary professor at the University of Sydney.

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford

She is the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris, where she co-leads the international working group on the Foundations of Machine Learning. In 2021, she received the Miegunyah Distinguished Visiting Fellowship at the University of Melbourne.

Furthermore, Kate co-founded multiple interdisciplinary research groups including FATE at MSR, AI Now Institute at NYU, and Knowing Machines at USC. Kate has advised policy makers in the United Nations, the Federal Trade Commission, the European Parliament, the Australian Human Rights Commission, and the White House. Atlas of AI was named one of the best books on technology in 2021 by the Financial Times.

Kate is certainly delivering a powerful book addressing hidden costs of artificial intelligence. The list is rather lengthy, detailed and must not be overlooked. From natural resources, labor exploitation, failures of privacy in massive data collections, to undemocratic governance this is certainly eye opening. She is certainly revealing the cost of AI both upon the earth’s mining sites and factories, to snake oil salesmen exploiting workers in third world countries who ‘act as the ai’ in their products.

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